Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7000
Title: A relevance feedback-based learner for image retrieval using SIFT descriptors
Authors: Murala S.
Maheshwari R.P.
Balasubramanian R.
Published in: International Journal of Computational Vision and Robotics
Abstract: This paper presents a relevance feedback (RF) algorithm for scale invariant features extracting form Caltech image database. The RF is a powerful technique to bridging the gap between high-level concepts and low-level features in image retrieval systems. This paper attempts to enhance the performance of RF by exploiting unlabelled images in the database. Each scale invariant feature transform (SIFT) keypoint is considered as the different feature (colour histogram, colour moments, wavelet transform, Gabor transform, etc.). The user labels several images accordingly to whether they are positive (relevant) or negative (irrelevant) examples to a query. Therefore, the relevance feedback process changes labelled and unlabelled images. The query feature and weights are updated as per the keypoint features of positively and negatively labelled images. Furthermore, a new similarity measurement for matching of database images with query is proposed in this paper. The SIFT feature is local feature of an image, which is invariant to image scaling, transformation, rotation and partially invariant to illumination changes, angle of view changes, and noise. The retrieval results show that proposed RF method using SIFT descriptors achieves good effectiveness in content-based image retrieval. © 2011 Inderscience Enterprises Ltd.
Citation: International Journal of Computational Vision and Robotics (2011), 2(2): 99-114
URI: https://doi.org/10.1504/IJCVR.2011.042269
http://repository.iitr.ac.in/handle/123456789/7000
Issue Date: 2011
Keywords: CBIR
content-based image retrieval
keypoint descriptor
relevance feedback
RF
scale invariant feature transform
SIFT
ISSN: 17529131
Author Scopus IDs: 26639647100
8941720600
7103127999
Author Affiliations: Murala, S., Instrumentation and Signal Processing Laboratory, Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Balasubramanian, R., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Corresponding Author: Maheshwari, R.P.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Appears in Collections:Journal Publications [EE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.